Titlebook: ;

travail

Seifeldin Hakim,William A. Rosskit in this paper. Our experimental result shows that the proposed toolkit really can enable the test programs to effectively exploit heterogeneous processors for enhancing their execution performance.

START

強制性

https://doi.org/10.1007/978-3-319-52680-5ith scheduler for natural disaster management system, where in Cloud environment, web service and EC2 technologies have been leveraged in order to design the Cloud based workflow model for disaster management system.

jocular

Olca Basturk MD,David S. Klimstra MDf VMs that are sold at full price and the optimum time period before the allocation when the prices should change. Simulation results show that both yield management methods outperform static pricing models and the algorithms perform differently considering the deviation of demand.

完全

Scaling Out Recommender System for Digital Libraries with MapReduceHadoop framework. We give an overview of our development on using a parallel filtering algorithm to improve the performance of a personal ontology based recommender system for digital library. The experimental results show that the proposed algorithm can indeed scale out the recommender systems for all pairs search.

Regurgitation

JCL: An OpenCL Programming Toolkit for Heterogeneous Computingkit in this paper. Our experimental result shows that the proposed toolkit really can enable the test programs to effectively exploit heterogeneous processors for enhancing their execution performance.

CRAMP

RTRM: A Response Time-Based Replica Management Strategy for Cloud Storage Systemplacement location, and it is a NP-hard problem. Based on graph theory, this paper proposes a reduction algorithm to solve this problem. The simulation results show that RTRM strategy performs better than the five built-in replica management strategies in terms of network utilization and service response time.

lethargy

交響樂

Comparison of Two Yield Management Strategies for Cloud Service Providersf VMs that are sold at full price and the optimum time period before the allocation when the prices should change. Simulation results show that both yield management methods outperform static pricing models and the algorithms perform differently considering the deviation of demand.

visual-cortex

Haydee Ojeda-Fournier MD,K. Ann Choe MDmonitor (CloudDVMM). We present its theoretical model, architecture and key technologies. Experiments and comparisons with existing researches show that our CloudDVMM achieves merits in architecture, extensibility, etc. and is promising for meeting the integration requirements of distributed virtual computing and cloud computing environments.